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ORCIDHemanth Saratchandran
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2020 – today
- 2025
[c11]Shin-Fang Ch'ng, Hemanth Saratchandran, Simon Lucey:
Preconditioners for the Stochastic Training of Neural Fields. CVPR 2025: 27222-27232- [c10]Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
RandLoRA: Full rank parameter-efficient fine-tuning of large models. ICLR 2025 - [c9]Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey:
Efficient Learning with Sine-Activated Low-Rank Matrices. ICLR 2025 - [i25]Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
RandLoRA: Full-rank parameter-efficient fine-tuning of large models. CoRR abs/2502.00987 (2025) - [i24]Yiping Ji, Hemanth Saratchandran, Peyman Moghadam
, Simon Lucey:
Always Skip Attention. CoRR abs/2505.01996 (2025) - [i23]Hemanth Saratchandran, Simon Lucey:
Enhancing Transformers Through Conditioned Embedded Tokens. CoRR abs/2505.12789 (2025) - [i22]Jianqiao Zheng, Xueqian Li, Hemanth Saratchandran, Simon Lucey:
Structured Initialization for Vision Transformers. CoRR abs/2505.19985 (2025) - [i21]Hemanth Saratchandran, Damien Teney, Simon Lucey:
Leaner Transformers: More Heads, Less Depth. CoRR abs/2505.20802 (2025) - [i20]Cameron Gordon, Yiping Ji, Hemanth Saratchandran, Paul Albert, Simon Lucey:
Compressing Sine-Activated Low-Rank Adapters through Post-Training Quantization. CoRR abs/2505.21895 (2025) - [i19]Zachary Shinnick, Liangze Jiang, Hemanth Saratchandran, Anton van den Hengel, Damien Teney:
Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning. CoRR abs/2505.22308 (2025) - [i18]Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Anton van den Hengel, Ehsan Abbasnejad:
Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri-Rao Product. CoRR abs/2508.00230 (2025) - [i17]Jiaqi Yao, Lewis Mitchell, John Maclean, Hemanth Saratchandran:
Data Denoising and Derivative Estimation for Data-Driven Modeling of Nonlinear Dynamical Systems. CoRR abs/2509.14219 (2025) - [i16]Arpit Garg, Hemanth Saratchandran, Ravi Garg, Simon Lucey:
Stable Forgetting: Bounded Parameter-Efficient Unlearning in LLMs. CoRR abs/2509.24166 (2025) - [i15]Yiping Ji, James Martens, Jianqiao Zheng, Ziqin Zhou, Peyman Moghadam, Xinyu Zhang, Hemanth Saratchandran, Simon Lucey:
Cutting the Skip: Training Residual-Free Transformers. CoRR abs/2510.00345 (2025) - 2024
- [c8]Cameron Gordon, Lachlan E. MacDonald, Hemanth Saratchandran, Simon Lucey:
D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations. ACCV (7) 2024: 128-147 - [c7]Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey:
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CVPR 2024: 413-422 - [c6]Hemanth Saratchandran, Thomas X. Wang, Simon Lucey:
Weight Conditioning for Smooth Optimization of Neural Networks. ECCV (85) 2024: 310-325 - [c5]Shin-Fang Ch'ng, Ravi Garg, Hemanth Saratchandran, Simon Lucey:
Invertible Neural Warp for NeRF. ECCV (17) 2024: 405-421 - [c4]Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey:
A sampling theory perspective on activations for implicit neural representations. ICML 2024 - [i14]Hemanth Saratchandran, Shin-Fang Ch'ng, Simon Lucey:
Architectural Strategies for the optimization of Physics-Informed Neural Networks. CoRR abs/2402.02711 (2024) - [i13]Hemanth Saratchandran, Shin-Fang Ch'ng, Simon Lucey:
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks. CoRR abs/2402.04783 (2024) - [i12]Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey:
A Sampling Theory Perspective on Activations for Implicit Neural Representations. CoRR abs/2402.05427 (2024) - [i11]Shin-Fang Ch'ng, Hemanth Saratchandran, Simon Lucey:
Preconditioners for the Stochastic Training of Implicit Neural Representations. CoRR abs/2402.08784 (2024) - [i10]Cameron Gordon, Lachlan Ewen MacDonald, Hemanth Saratchandran, Simon Lucey:
D'OH: Decoder-Only random Hypernetworks for Implicit Neural Representations. CoRR abs/2403.19163 (2024) - [i9]Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey:
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CoRR abs/2403.19205 (2024) - [i8]Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey:
Sine Activated Low-Rank Matrices for Parameter Efficient Learning. CoRR abs/2403.19243 (2024) - [i7]Shin-Fang Ch'ng, Ravi Garg, Hemanth Saratchandran, Simon Lucey:
Invertible Neural Warp for NeRF. CoRR abs/2407.12354 (2024) - [i6]Hemanth Saratchandran, Thomas X. Wang, Simon Lucey:
Weight Conditioning for Smooth Optimization of Neural Networks. CoRR abs/2409.03424 (2024) - [i5]Hemanth Saratchandran, Jianqiao Zheng, Yiping Ji, Wenbo Zhang, Simon Lucey:
Rethinking Softmax: Self-Attention with Polynomial Activations. CoRR abs/2410.18613 (2024) - 2023
- [c3]Hemanth Saratchandran, Shin-Fang Ch'ng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
Curvature-Aware Training for Coordinate Networks. ICCV 2023: 13282-13292 - [c2]Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey:
How much does Initialization Affect Generalization? ICML 2023: 28637-28655 - [c1]Lachlan E. MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey:
On skip connections and normalisation layers in deep optimisation. NeurIPS 2023 - [i4]Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey:
On the effectiveness of neural priors in modeling dynamical systems. CoRR abs/2303.05728 (2023) - [i3]Hemanth Saratchandran, Shin-Fang Ch'ng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
Curvature-Aware Training for Coordinate Networks. CoRR abs/2305.08552 (2023) - 2022
- [i2]Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey:
How You Start Matters for Generalization. CoRR abs/2206.08558 (2022) - [i1]Lachlan Ewen MacDonald, Hemanth Saratchandran, Jack Valmadre, Simon Lucey:
A global analysis of global optimisation. CoRR abs/2210.05371 (2022)
Coauthor Index
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